People

Photograph of Zach Landis-Lewis. Man with light skin tone and dark hair. He wears a blue shirt and wire-rimmed glasses.

Zach Landis-Lewis, PhD, MLIS (he/him)

Principal Investigator

Zach Landis-Lewis, PhD, MLIS, is an Assistant Professor in the Department of Learning Health Sciences in the University of Michigan Medical School. He leads the DISPLAY Lab, which studies precision feedback for learning health systems. With expertise in health informatics, implementation science, and human-computer interaction, his research focuses on how to support healthcare professional learning and clinical quality improvement through coaching and appreciation feedback via digital interventions. His work as Principal Investigator has been funded by the National Institutes of Health, National Library of Medicine. Zach teaches a course on knowledge representation and management to graduate students. His research incorporates a global health focus, addressing representation of computer-interpretable clinical practice guidelines in low-income countries to improve health care. He received a PhD in Biomedical Informatics and Master of Library and Information Science from the University of Pittsburgh.

Photograph of Yidan (Eden) Cao. Woman with light skin tone and dark hair, wearing a white shirt and black blazer.

Yidan (Eden) Cao, MPH, MS (she/her)

Health Infrastructures and Learning Systems (HILS) PhD Student

Email: yidancao@umich.edu

Yidan is a PhD candidate in the Department of Learning Health Sciences. She is working as a graduate student research assistant at the Display Lab, focusing on the development and evaluation of a precision feedback system for learning health systems. She is also a research associate at the Center for Promotion of Child Development through Primary Care, working on several NIH-funded research projects that leverage clinical decision support tools to improve care quality in pediatric primary care settings. Her research focuses on human-centered design, implementation, and evaluation of provider-facing digital health interventions to address issues of health and health care inequities. After completing her BA degree in China, Yidan earned her master’s degree at the Johns Hopkins School of Public Health Department of Health Policy and Management.

Photograph of Gan Shi. Man with light skin tone and dark hair, wearing a green shirt and black circular glasses.

Gan Shi (he/him)

Health Infrastructures and Learning Systems (HILS) PhD Student

Email: ganshi@umich.edu

Gan Shi is a PhD student in Health Infrastructures and Learning Systems. He received his B.S. in Public Health and M.S. in Health Sciences Informatics at the University of Washington and Johns Hopkins University. Gan served as a research associate at Johns Hopkins University. Before joining the HILS program, he had industrial experience in management consulting and real-world studies partnered with top pharmaceutical companies. He is enchanted by the possible interactions in the jointed area of data and health care - particularly, how implementations in practical scenes can improve access to and quality of care.

Former Team Members

Jessica Zhang

John Rincòn Hekking

Colin Gross

Dahee Lee

Veena Panicker

Cooper Stansbury

Astrid Fishstrom

Ben Sheppard

Shelbi Lisecki

Anjana Deep Renji

Ayshwarya Jagadeesan

Hana Chung

Patrick Galante